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Model comparison

Mistral Large 3 vs Xiaomi MiMo-V2.6-Pro

Mistral against Xiaomi, compared on context, price, and verified benchmark results.

Catalog record checked September 26, 2026Individual provider fields may changeEvidence confidence: High — see receipts below

Mistral

Mistral Large 3

Frontier · Open weights

vs

Xiaomi

Xiaomi MiMo-V2.6-Pro

Frontier · Open weights

AI model capability comparison
SpecificationMistral Large 3Xiaomi MiMo-V2.6-Pro
ProviderMistralXiaomi
TierFrontierFrontier
Context window262KWinner: 1.05M
Max outputNot verifiedUnverifiedNot verifiedUnverified
Input / 1M tokens$0.50Winner: $0.435
Output / 1M tokens$1.50Winner: $0.87
WeightsOpenOpen
Parameters675B total / 41B active (sparse MoE)1.02T total / 42B active (MoE)
Reasoning levelsNot verifiedUnverifiedNot verifiedUnverified
Modalitiestext, imagetext, image, video, audio
LicenseApache 2.0MIT
API model idmistral-large-2512mimo-v2.6-pro
ReleasedDecember 2, 2025September 21, 2026
Artificial Analysis Intelligence Index (2026-09-26)9.3Winner: 46.3
GPQA Diamond (2026-09-26)68Not verifiedUnverified
DeepSWE 1.1 (2026-09-21)Not verifiedUnverified71.9
Terminal-Bench 2.1 (2026-09-21)Not verifiedUnverified89.9

Prices are USD per million tokens at standard rates, excluding batch and caching discounts. Bold indicates the better figure where one is objectively better. Values we could not confirm from the provider are shown as “Not verified” rather than estimated.

Benchmark receipts

Where each score comes from, and how far it can be compared across models.

  • 2026-09-26
    Artificial Analysis GPQA Diamond (independent; replaces Mistral's non-comparable base-model 5-shot 43.9)

    Graduate-level science reasoning: multiple-choice questions written by domain PhDs.

    Comparable with caveatSmall question pool: differences under ~2 points are within run-to-run noise. Chain-of-thought vs direct answering must match to compare. Saturated: frontier models score ~93–96% and Artificial Analysis dropped it from its Intelligence Index in v4.3 — use Humanity's Last Exam for hard reasoning.

  • 2026-09-26
    Artificial Analysis

    Composite index blending reasoning, knowledge, and coding evals into one 0–100 score.

    Comparable with caveatOnly same-version scores are comparable. v4.3.2 was rebaselined (the top score fell from 66 on v4.1.1 to ~58), so v4.1.1 figures must not be compared with v4.3.2 figures — check measuredAt.

  • 2026-09-21
    Xiaomi MiMo-V2.6 announcement (vendor)

    Agentic software engineering: pass@1 on real repo tasks with reported cost per completed task.

    Directly comparable

Pricing tiers

Mistral Large 3: Mistral first-party API $0.50/$1.50 per MTok; cached input $0.05/MTok. Open weights (Apache 2.0), EU-hosted.

Xiaomi MiMo-V2.6-Pro: $0.435/$0.87 per MTok (cache hit $0.0036; cache writes free for a limited time) — unchanged from V2.5-Pro. UltraSpeed mode (mimo-v2.6-pro-ultraspeed) costs $4.35/$8.70. Open weights (MIT) as MiMo-V2.6-Pro-RL.

FrontierOpen weightsRecord checked September 26, 2026

Mistral Large 3

Mistral Large 3 is Mistral's December 2025 open-weight (Apache 2.0) 675B/41B sparse MoE with a 262K context at $0.50/$1.50 — Mistral now features Medium 3.5 as its flagship.

Best for

  • Open-weight deployments
  • Multimodal EU-hosted inference
  • Balanced frontier work

Watch out

No longer Mistral's featured flagship (Medium 3.5 is) and far behind it on the Artificial Analysis index; max output is not published. Verify multimodal support and EU data residency on your endpoint.

FrontierOpen weightsRecord checked September 26, 2026

Xiaomi MiMo-V2.6-Pro

MiMo-V2.6-Pro is Xiaomi's open-weight (MIT) 1.02T MoE with omni-modal input and a 1M context — the top open-weight model on the Artificial Analysis index at under $1 per million output tokens.

Best for

  • Open-weight frontier work
  • Omni-modal input
  • Cheap long-context API

Watch out

Max output is not verified; vendor benchmark claims (DeepSWE 71.9) are not yet independently reproduced.

When the cheaper one wins

Xiaomi MiMo-V2.6-Pro is cheaper on output at $0.87 per million tokens against $1.50 for Mistral Large 3 — about 1.7×. Use the cheaper tier for classification, extraction, summarisation, and any task where the expensive model’s extra score does not change the accepted output. The expensive one only pays if your hardest task actually fails on the cheap tier. These are standard-tier API rates, excluding batch and cache discounts.

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Evidence confidence: High

How strong and complete the evidence behind this comparison is — not a prediction of which model is better.

  • Pricing verified on both sides — Input and output rates are verified for both models.
  • 3/5 core specs verified on both sides — Not published for at least one side: max output, reasoning levels.
  • 1 shared named benchmark with differing scores — Measured on: Artificial Analysis Intelligence Index.
  • Verified within the last 90 days — Newest catalog check was 2 days ago.
  • Both models carry source citations — Each side has at least two catalog sources on record.

Source receipts

Each catalog figure was checked against the provider or an independent second source on the date shown.

Related comparisons

Diving deeper on one model? Mistral Large 3 · Xiaomi MiMo-V2.6-Pro

Common questions

Mistral Large 3 vs Xiaomi MiMo-V2.6-Pro

Answered from the verified figures on this page rather than general guidance.

Is Mistral Large 3 or Xiaomi MiMo-V2.6-Pro cheaper for input?
Xiaomi MiMo-V2.6-Pro is cheaper at $0.435 per million input tokens, against $0.50 for Mistral Large 3 — roughly 1.1× the price. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate. These are base rates; Mistral Large 3 has tiered pricing: Mistral first-party API $0.50/$1.50 per MTok; cached input $0.05/MTok. Open weights (Apache 2.0), EU-hosted. Xiaomi MiMo-V2.6-Pro has tiered pricing: $0.435/$0.87 per MTok (cache hit $0.0036; cache writes free for a limited time) — unchanged from V2.5-Pro. UltraSpeed mode (mimo-v2.6-pro-ultraspeed) costs $4.35/$8.70. Open weights (MIT) as MiMo-V2.6-Pro-RL.
Is Mistral Large 3 or Xiaomi MiMo-V2.6-Pro cheaper for output?
Xiaomi MiMo-V2.6-Pro is cheaper at $0.87 per million output tokens, against $1.50 for Mistral Large 3 — roughly 1.7× the price. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate. These are base rates; Mistral Large 3 has tiered pricing: Mistral first-party API $0.50/$1.50 per MTok; cached input $0.05/MTok. Open weights (Apache 2.0), EU-hosted. Xiaomi MiMo-V2.6-Pro has tiered pricing: $0.435/$0.87 per MTok (cache hit $0.0036; cache writes free for a limited time) — unchanged from V2.5-Pro. UltraSpeed mode (mimo-v2.6-pro-ultraspeed) costs $4.35/$8.70. Open weights (MIT) as MiMo-V2.6-Pro-RL.
Which has the larger context window, Mistral Large 3 or Xiaomi MiMo-V2.6-Pro?
Xiaomi MiMo-V2.6-Pro accepts 1.05M tokens against 262K for Mistral Large 3. This only matters if you routinely send very long documents or large codebases.
Should I use Mistral Large 3 or Xiaomi MiMo-V2.6-Pro?
Both sit in the frontier tier, so the choice usually comes down to price and context rather than capability. Mistral Large 3 suits open-weight deployments; Xiaomi MiMo-V2.6-Pro suits open-weight frontier work.

Next step

Choosing between them

The verified figures that separate this pair, computed from the catalog rather than restated boilerplate.

  • Input price: Xiaomi MiMo-V2.6-Pro costs $0.435 per 1M tokens versus $0.50 for Mistral Large 3 — a 1.1x difference at the headline tier.
  • Context: Xiaomi MiMo-V2.6-Pro takes 1.05M against 262K for Mistral Large 3 — only decisive if your prompts approach the smaller window.
  • Measured capability: Xiaomi MiMo-V2.6-Pro leads Artificial Analysis Intelligence Index 46.3 to 9.3 (measured 2026-09-26).
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